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- <h1 id="简介">简介</h1>
- <h2 id="导语">导语</h2>
- <blockquote>
- <h5 id="easyscheduler是易观研发的大数据分布式工作流调度系统。主要解决数据研发etl错综复杂的依赖关系,而不能直观监控任务健康状态等问题。easyscheduler通过可视化拖拽任务节点的方式形成dag有向无环图流程图,在运行过程中可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及kill任务、任务运行历史查看等等操作。">EasyScheduler是易观研发的大数据分布式工作流调度系统。主要解决数据研发ETL错综复杂的依赖关系,而不能直观监控任务健康状态等问题。EasyScheduler通过可视化拖拽任务节点的方式形成DAG(有向无环图)流程图,在运行过程中可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务、任务运行历史查看等等操作。</h5>
- </blockquote>
- <h2 id="背景">背景</h2>
- <p> 工作流调度系统在大数据平台中是一个核心的基础设施,是大数据开发必不可少的重要组成部分。由于数据处理流程常常具有很长的依赖链条,因此依赖单机的crontab等单纯依赖时间调度的方式,往往存在很大的弊端,如依赖不清晰,出错难以查找等问题。因此,我们调研了市面上流行的调度系统。
- 并和azkaban、airflow做了一些对比:</p>
- <blockquote>
- <h4 id=""> </h4>
- </blockquote>
- <p> <img src="images/vs_scheduler.jpg" alt="JPG"> </p>
- <blockquote>
- <h4 id="       鉴于易观日处理数据30tb,复杂的etl依赖关系,我们开发了easyscheduler。">       鉴于易观日处理数据30TB,复杂的ETL依赖关系,我们开发了EasyScheduler。</h4>
- </blockquote>
- <p>EasyScheduler由在工作流调度方面工作多年的几位小伙伴研发而成,致力于成为大数据平台的中流砥柱,使调度变得更加容易,更可以从其中文名“易调度”看出我们的初衷,如果你对目前市面上的调度不够满意,非常欢迎试用易调度,欢迎大家加入进来,提出需求,也欢迎贡献代码, 感兴趣的伙伴们可以加我们微信:510570367,一起加入EasyScheduler吧,多多交流!</p>
- <h1 id="系统部分截图:">系统部分截图:</h1>
- <p><img src="http://geek.analysys.cn/static/upload/47/2019-03-06/76db3013-8e3b-4d17-b167-2aa1e6a6b0ad.jpeg" alt="工作流实例"></p>
- <p><img src="http://geek.analysys.cn/static/upload/47/2019-03-06/d2bef23a-cead-4bc9-a007-bc15c22ce7d2.jpeg" alt="工作流DAG设计"></p>
- <p><img src="http://geek.analysys.cn/static/upload/47/2019-03-06/08b79a19-4aa0-4a73-a71b-81ad210513fb.jpeg" alt="工作流DAG任务节点设计"></p>
- <p><img src="http://geek.analysys.cn/static/upload/47/2019-03-06/384dd8a3-4cf8-4e3e-944d-1185ba198f75.jpeg" alt="工作流运行情况"></p>
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